Like it or not: A survey of twitter sentiment analysis methods
Sentiment analysis in Twitter is a field that has recently attracted research interest. Twitter is
one of the most popular microblog platforms on which users can publish their thoughts and …
one of the most popular microblog platforms on which users can publish their thoughts and …
Systematic literature review of sentiment analysis on Twitter using soft computing techniques
Sentiment detection and classification is the latest fad for social analytics on Web. With the
array of practical applications in healthcare, finance, media, consumer markets, and …
array of practical applications in healthcare, finance, media, consumer markets, and …
Sentiment analysis on Twitter data integrating TextBlob and deep learning models: The case of US airline industry
Twitter being among the popular social media platforms, provide peoples' opinions
regarding specific ideas, products, services, etc. The large amounts of shared data as tweets …
regarding specific ideas, products, services, etc. The large amounts of shared data as tweets …
Partisan public health: how does political ideology influence support for COVID-19 related misinformation?
NF Havey - Journal of Computational Social Science, 2020 - Springer
This study analyzes over 4000 tweets related to six misinformation topics about the COVID-
19 pandemic: the use of hydroxychloroquine as treatment, the use of bleach as a …
19 pandemic: the use of hydroxychloroquine as treatment, the use of bleach as a …
Improved machine learning-based predictive models for breast cancer diagnosis
Breast cancer death rates are higher than any other cancer in American women. Machine
learning-based predictive models promise earlier detection techniques for breast cancer …
learning-based predictive models promise earlier detection techniques for breast cancer …
Hybrid context enriched deep learning model for fine-grained sentiment analysis in textual and visual semiotic modality social data
Detecting sentiments in natural language is tricky even for humans, making its automated
detection more complicated. This research proffers a hybrid deep learning model for fine …
detection more complicated. This research proffers a hybrid deep learning model for fine …
Tweets classification on the base of sentiments for US airline companies
The use of data from social networks such as Twitter has been increased during the last few
years to improve political campaigns, quality of products and services, sentiment analysis …
years to improve political campaigns, quality of products and services, sentiment analysis …
Fuzzy rule based unsupervised sentiment analysis from social media posts
In this paper, we compute the sentiment of social media posts using a novel set of fuzzy
rules involving multiple lexicons and datasets. The proposed fuzzy system integrates Natural …
rules involving multiple lexicons and datasets. The proposed fuzzy system integrates Natural …
Chinese text sentiment analysis based on extended sentiment dictionary
G Xu, Z Yu, H Yao, F Li, Y Meng, X Wu - IEEE access, 2019 - ieeexplore.ieee.org
The method of text sentiment analysis based on sentiment dictionary often has the problems
that the sentiment dictionary doesn't contain enough sentiment words or omits some field …
that the sentiment dictionary doesn't contain enough sentiment words or omits some field …
Sarcasm detection using soft attention-based bidirectional long short-term memory model with convolution network
A large community of research has been developed in recent years to analyze social media
and social networks, with the aim of understanding, discovering insights, and exploiting the …
and social networks, with the aim of understanding, discovering insights, and exploiting the …